Your CCTV is already watching.
Make it think.
StoreIntel transforms your existing security cameras into a retail intelligence engine — customer analytics, store operations, and actionable insights without installing new hardware.
"What gets counted gets improved."
Running your store on gut feel?
Most retailers can't answer basic questions about their own stores. How many people walked in today? What's the conversion rate? Are stores opening on time? You're sitting on thousands of hours of CCTV footage that holds these answers — but it just sits on a hard drive, watched only after an incident.
- ✕ Staff closing stores during business hours
No one notices until the sales numbers come in. - ✕ Inflated walk-in reports
Staff exaggerate numbers to justify poor conversion. - ✕ Marketing campaigns with no ROI measurement
Spent lakhs on ads — no idea if footfall actually changed. - ✕ Zero visibility into customer demographics
Merchandising decisions based on assumptions, not data.
Three steps. Zero new hardware.
Connect your cameras
We plug into your existing CCTV infrastructure and install a small edge-compute box (NVIDIA Jetson) that processes the video feed locally. Your footage never leaves the premises.
AI analyses every frame
Our CV models detect, track, and classify every person — counting visitors, identifying demographics, mapping movement, measuring dwell time, and tracking conversion. All in real time.
Get insights on your dashboard
Access your web dashboard from anywhere. Filter by store, date, camera. Daily reports, weekly trends, automatic alerts — no spreadsheets.
9 data points. Every minute. Every store.
All extracted from your existing CCTV — no new cameras, no manual counting, no guesswork.
Visitor count
Precise walk-in data that excludes staff entries. Know exactly how many customers visited and measure the real impact of every campaign.
Demographics
Age, gender, and group size of every visitor. Tailor marketing, merchandising, and staffing to who actually walks in.
Store heatmap
See which product zones attract attention and which get ignored. Optimise placement and layout with real spatial data.
Dwell time
Track how long customers spend in each area. Spot high-interest zones, identify bottlenecks, understand engagement depth.
Conversion
Walk-ins vs billed transactions. Find what makes your best days convert and replicate it across every store.
In-store media
Play targeted content on in-store displays based on who's in the store. Educate, promote, and increase dwell time with personalised media.
Staff SOP
Monitor SOP compliance — staff presence, attendance, store cleaning, stock-checking. Automated, not self-reported.
Open / close time
Know the exact minute every store opens and closes. Flag early closures, late openings, and anomalies automatically.
Store layouts
A/B test layouts with real data. Understand how changes affect customer flow, product interaction, and sales.
What it looks like on a store camera
Three short loops from deployed stores. No re-edits, no cherry-picked footage.
Visitor count · people tracking
Frame-by-frame detection and ID-consistent tracking. Every walk-in logged, staff filtered out automatically.
Dwell time · multi-camera
Tracks how long customers spend in each area. Identifies bottleneck zones and engagement hotspots.
Staff SOP · dim-light segmentation
Custom segmentation model that works in low-light store conditions. Verifies staff presence and SOP compliance automatically.
Real data. Real stores.
Every metric accessible through a web dashboard — filter by store, date, camera. Here's what it looks like in production.
What retailers see after deploying StoreIntel
Based on early deployments — when stores start measuring what matters, improvements follow naturally.
When marketing aligns with actual floor data, campaigns convert better.
Automated SOP tracking means stores open on time and procedures are followed consistently.
Data-driven merchandising leads to better-matched customer expectations.
For the first time, know your actual walk-in to purchase ratio — the starting point for every improvement.
What's under the hood
Computer vision
- Person detection
- Multi-object tracking
- Re-identification
- Age & gender
- Heatmap generation
- Path analysis
Edge hardware
- NVIDIA Jetson
- On-device inference
- Multi-camera
- CCTV integration
- Local processing
Platform
- Web dashboard
- Cloud sync
- Multi-store
- Real-time reports
- Anomaly alerts
StoreIntel questions
How does StoreIntel work with existing CCTV?
We install a small edge compute box (NVIDIA Jetson) that connects to your existing CCTV cameras. The box processes video locally — your footage never leaves the premises. Analytics sync to a cloud dashboard you can access from anywhere. No new cameras needed in most cases.
What analytics does StoreIntel provide?
Nine data points: visitor count (excluding staff), demographics (age, gender, group size), store heatmaps, dwell time, walk-in to purchase conversion, in-store media targeting, staff SOP compliance, open/close time tracking, and store layout A/B testing. All automated, all from your existing cameras.
How many cameras and stores can StoreIntel handle?
Each edge device handles 4+ camera streams simultaneously. The cloud dashboard supports 100+ stores with per-store filtering, date-range selection, and comparative analytics. There is no upper limit on the number of stores.
Is there a free tier?
Yes — StoreIntel Lite is free for up to 5 stores and includes basic footfall counting, simple demographics, dwell-time analysis, and essential heatmapping.
Your CCTV is already recording.
Why not extract data from it?
We handle the AI, the edge hardware, and the dashboard. You get the insights. Works with cameras you already have.